Articles

Artificial Intelligence in Healthcare

AI, Machine Learning, and Deep and Intelligent Medicine Simplified for Everyone

Academic Edition, Chapter 10 - References/Further Reading

 

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  3. Wu G, Yang P, Xie Y, Woodruff HC, Rao X, Guiot J, et al. Development of a clinical decision support system for severity risk prediction and triage of COVID-19 patients at hospital admission: an international multicentre study. Eur Respir J. 2020;56(2).
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  8. Yoo TK, Ryu IH, Choi H, Kim JK, Lee IS, Kim JS, et al. Explainable Machine Learning Approach as a Tool to Understand Factors Used to Select the Refractive Surgery Technique on the Expert Level. Transl Vis Sci Technol [Internet]. [cited 2020 Nov 11];9(2). Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7346876/
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  10. Baghdadi A, Hoshyarmanesh H, de Lotbiniere-Bassett MP, Choi SK, Lama S, Sutherland GR. Data analytics interrogates robotic surgical performance using a microsurgery-specific haptic device. Expert Rev Med Devices. 2020 Jul;17(7):721–30.
  11. Fard MJ, Ameri S, Darin Ellis R, Chinnam RB, Pandya AK, Klein MD. Automated robot-assisted surgical skill evaluation: Predictive analytics approach. Int J Med Robot. 2018 Feb;14(1).
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  17. Shahid N, Rappon T, Berta W. Applications of artificial neural networks in health care organizational decision-making: A scoping review. PLOS ONE. 2019 Feb 19;14(2):e0212356.
  18. Yamashita R, Nishio M, Do RKG, Togashi K. Convolutional neural networks: an overview and application in radiology. Insights Imaging. 2018 Jun 22;9(4):611–29.
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  20. Xu S, Wang Z, Sun J, Zhang Z, Wu Z, Yang T, et al. Using a deep recurrent neural network with EEG signal to detect Parkinson’s disease. Ann Transl Med [Internet]. 2020 Jul [cited 2020 Nov 11];8(14). Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7396761/
  21. Pathan RK, Biswas M, Khandaker MU. Time series prediction of COVID-19 by mutation rate analysis using recurrent neural network-based LSTM model. Chaos Solitons Fractals. 2020 Sep;138:110018.
  22. Lin E, Lin C-H, Lane H-Y. Relevant Applications of Generative Adversarial Networks in Drug Design and Discovery: Molecular De Novo Design, Dimensionality Reduction, and De Novo Peptide and Protein Design. Molecules [Internet]. 2020 Jul 16 [cited 2020 Nov 11];25(14). Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7397124/
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